Substituting model-based indicators in Harvest Control Rules by observations using fuzzy logic methodology
Harvest Control Rules are predefined heuristic decision rules to provide quota advices for managed fisheries. Frequently statistical methods and biological assumptions expressed in mathematical models, are used to provide the Harvest Control Rules with initial information (indicators values). The ai...
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ftzenodo:oai:zenodo.org:2541588 2023-05-15T14:30:27+02:00 Substituting model-based indicators in Harvest Control Rules by observations using fuzzy logic methodology Arne Eide 2017-12-26 https://zenodo.org/record/2541588 https://doi.org/10.1093/icesjms/fsx227 unknown info:eu-repo/grantAgreement/EC/H2020/727891/ doi:10.1093/icesjms/fsx227 https://zenodo.org/communities/farfish2020 https://zenodo.org/record/2541588 https://doi.org/10.1093/icesjms/fsx227 oai:zenodo.org:2541588 info:eu-repo/semantics/closedAccess ICES Journal of Marine Science 76(3) 977-987 info:eu-repo/semantics/article publication-article 2017 ftzenodo https://doi.org/10.1093/icesjms/fsx227 2023-03-10T19:39:54Z Harvest Control Rules are predefined heuristic decision rules to provide quota advices for managed fisheries. Frequently statistical methods and biological assumptions expressed in mathematical models, are used to provide the Harvest Control Rules with initial information (indicators values). The aim of this article is to investigate a possible way forward of replacing these inputs by quantities of measurable observations, e.g. catch-at-age statistics. The article presents a method by which recruitment indexes and stock biomass indicators are obtained by non-parametric use of annual catch-at-age records, without filtering the raw data (observations) through mathematical models. Two related methods, applied on three empirical cases, are provided: First, showing that recruitment strengths of the Northeast Arctic cod, haddock, and saithe stocks, obtained by fuzzy logic methodology, are satisfactory captures by the use of catch-at-age data. Second, stock size indicators are estimated for the three species by the same catch-at-age data. The second task turns out to be more challenging than the first, but also in the case of stock size evaluation, the suggested procedure provides reasonable results when compared to standard stock assessment methods. Article in Journal/Newspaper Arctic cod Arctic Northeast Arctic cod Zenodo Arctic ICES Journal of Marine Science 75 3 977 987 |
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Harvest Control Rules are predefined heuristic decision rules to provide quota advices for managed fisheries. Frequently statistical methods and biological assumptions expressed in mathematical models, are used to provide the Harvest Control Rules with initial information (indicators values). The aim of this article is to investigate a possible way forward of replacing these inputs by quantities of measurable observations, e.g. catch-at-age statistics. The article presents a method by which recruitment indexes and stock biomass indicators are obtained by non-parametric use of annual catch-at-age records, without filtering the raw data (observations) through mathematical models. Two related methods, applied on three empirical cases, are provided: First, showing that recruitment strengths of the Northeast Arctic cod, haddock, and saithe stocks, obtained by fuzzy logic methodology, are satisfactory captures by the use of catch-at-age data. Second, stock size indicators are estimated for the three species by the same catch-at-age data. The second task turns out to be more challenging than the first, but also in the case of stock size evaluation, the suggested procedure provides reasonable results when compared to standard stock assessment methods. |
format |
Article in Journal/Newspaper |
author |
Arne Eide |
spellingShingle |
Arne Eide Substituting model-based indicators in Harvest Control Rules by observations using fuzzy logic methodology |
author_facet |
Arne Eide |
author_sort |
Arne Eide |
title |
Substituting model-based indicators in Harvest Control Rules by observations using fuzzy logic methodology |
title_short |
Substituting model-based indicators in Harvest Control Rules by observations using fuzzy logic methodology |
title_full |
Substituting model-based indicators in Harvest Control Rules by observations using fuzzy logic methodology |
title_fullStr |
Substituting model-based indicators in Harvest Control Rules by observations using fuzzy logic methodology |
title_full_unstemmed |
Substituting model-based indicators in Harvest Control Rules by observations using fuzzy logic methodology |
title_sort |
substituting model-based indicators in harvest control rules by observations using fuzzy logic methodology |
publishDate |
2017 |
url |
https://zenodo.org/record/2541588 https://doi.org/10.1093/icesjms/fsx227 |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic cod Arctic Northeast Arctic cod |
genre_facet |
Arctic cod Arctic Northeast Arctic cod |
op_source |
ICES Journal of Marine Science 76(3) 977-987 |
op_relation |
info:eu-repo/grantAgreement/EC/H2020/727891/ doi:10.1093/icesjms/fsx227 https://zenodo.org/communities/farfish2020 https://zenodo.org/record/2541588 https://doi.org/10.1093/icesjms/fsx227 oai:zenodo.org:2541588 |
op_rights |
info:eu-repo/semantics/closedAccess |
op_doi |
https://doi.org/10.1093/icesjms/fsx227 |
container_title |
ICES Journal of Marine Science |
container_volume |
75 |
container_issue |
3 |
container_start_page |
977 |
op_container_end_page |
987 |
_version_ |
1766304302616281088 |